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I am excited to announce that this is supposed to be my first article published also on r-bloggers.com :)

The processing of data needs to take dimensionality into account as usual metrics change their behaviour in subtle ways, which impacts the efficiency of algorithms and methods that are based on distances / similarities of data points. This has been tagged the “curse of dimensionality“. Just as well, in some cases high dimensionality can aid us when investigating data – “blessing of dimensionality”. But in general it is, as usual, a good thing to know what’s going on and so let’s have a look at what dimensionality does to data.